_base_ = "../retinanet/retinanet_r50_fpn_1x_coco.py"
model = dict(
    bbox_head=dict(
        loss_cls=dict(
            _delete_=True,
            type="GHMC",
            bins=30,
            momentum=0.75,
            use_sigmoid=True,
            loss_weight=1.0,
        ),
        loss_bbox=dict(
            _delete_=True, type="GHMR", mu=0.02, bins=10, momentum=0.7, loss_weight=10.0
        ),
    )
)
optimizer_config = dict(_delete_=True, grad_clip=dict(max_norm=35, norm_type=2))
